databricks-unity-catalog

Query Unity Catalog system tables to track data lineage by executing representative SQL queries provided in the Skill's reference file set. This allows data teams to observe data flows, audit trails, and monitor usage across the Databricks environment.

Monitor Unity Catalog audit trails by querying system tables to enforce governance and track permission changes. The Skill provides guidance and sample queries to help teams observe user access patterns and maintain compliance.

Analyze Databricks billing and compute costs by querying Unity Catalog system tables. The Skill offers sample queries to monitor compute usage, track job execution, and optimize resource allocation for cost management.

Yes, you must grant access to Unity Catalog system tables before querying them. The Skill's quick-start guide describes the necessary access configuration and provides representative queries to begin monitoring lineage, auditing, and usage.

Unity Catalog system tables provide observability for lineage, audit logs, and usage, but limitations exist regarding system table availability and historical data retention. The Skill's reference file set outlines best practices to navigate these constraints.

Monitor Databricks job and query history by executing queries against Unity Catalog system tables. The Skill provides guidance and sample queries to observe compute performance, track job execution, and analyze query patterns.